Development and realisation of changepoint analysis for the detection of emerging faults on industrial systems
- Submitting institution
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University of Lincoln
- Unit of assessment
- 12 - Engineering
- Output identifier
- 22991
- Type
- D - Journal article
- DOI
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10.1109/TII.2016.2558181
- Title of journal
- IEEE Transactions on Industrial Informatics
- Article number
- -
- First page
- 1180
- Volume
- 12
- Issue
- 3
- ISSN
- 1551-3203
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2016
- URL
-
https://doi.org/10.1109/TII.2016.2558181
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The Changepoint Detection Tool (CDT) has been adopted by Siemens (Lincoln, UK) for the monitoring of their Industrial Gas Turbine (IGT) engines across the world. Since 2017, the CDT has identified more than 4000 deviations from normal operation, classified as events, on more than 190 globally distributed IGT engines, including in the UK, India, China, Japan, and Azerbaijan. The CDT has reduced the time from diagnosis of a (possibly early emerging) fault to full service from 30 days to 10 days (on average) since 2017. The CDT is the basis of a UoA12 Impact Case Study.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -